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Delta-encoder: an effective sample synthesis method for few-shot object
  recognition

Delta-encoder: an effective sample synthesis method for few-shot object recognition

12 June 2018
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
ArXivPDFHTML

Papers citing "Delta-encoder: an effective sample synthesis method for few-shot object recognition"

7 / 57 papers shown
Title
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph
  Completion
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
Zihao Wang
K. Lai
Piji Li
Lidong Bing
W. Lam
19
32
0
25 Sep 2019
PARN: Position-Aware Relation Networks for Few-Shot Learning
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu
Yuwei Li
Lihua Guo
Kui Jia
26
86
0
10 Sep 2019
Revisiting Metric Learning for Few-Shot Image Classification
Revisiting Metric Learning for Few-Shot Image Classification
Xiaomeng Li
Lequan Yu
Chi-Wing Fu
Meng Fang
Pheng-Ann Heng
VLM
19
93
0
06 Jul 2019
Progressive Cluster Purification for Transductive Few-shot Learning
Progressive Cluster Purification for Transductive Few-shot Learning
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
Tieniu Tan
VLM
30
1
0
10 Jun 2019
Image Deformation Meta-Networks for One-Shot Learning
Image Deformation Meta-Networks for One-Shot Learning
Z. Chen
Yanwei Fu
Yu-xiong Wang
Lin Ma
Wei Liu
M. Hebert
15
217
0
28 May 2019
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
75
1,057
0
06 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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